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Titel:

Combing metaheuristics and process mining: Improving cobot placement in a combined cobot assignment and job shop scheduling problem

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Kinast, Alexander; Doerner, Karl F.; Rinderle-Ma, Stefanie
Abstract:
Human workers can share a workspace with modern collaborative robots (cobots). The main differences to traditional robots are, that workers do not need a safety distance when interacting with cobots, as they move slower than typical industrial robots. Cobots also have fast setup times compared to traditional resources. The hybridization is based on a previous work of the authors, where a job shop scheduling problem that is extended with a robot to workstation assignment with a hybrid genetic alg...     »
Stichworte:
Collaborative robots, Hybrid genetic algorithm, Job shop scheduling, Prescriptive analytics, Process mining
Zeitschriftentitel:
Procedia Computer Science
Jahr:
2022
Band / Volume:
200
Seitenangaben Beitrag:
1836--1845
Volltext / DOI:
doi:https://doi.org/10.1016/j.procs.2022.01.384
WWW:
https://www.sciencedirect.com/science/article/pii/S1877050922003933
Print-ISSN:
1877-0509
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